For his leadership in separations science and technology; for improving nuclear fuel recycling and waste removal; and for leading the development process that was instrumental in the cleanup of waste at the Savannah River Site.
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All Corporate Fellow summaries reflect the awardee and ORNL at the time the fellowship was awarded.
2016
2014
Jerry is recognized for distinguished research on the genetic basis of tree growth and development, including leading the international efforts to sequence, assemble, and annotate the genomes of poplar and eucalyptus bioenergy feedstocks.
2011
For his role in conceiving, designing, and implementing novel geocomputational methods to help solve a wide variety of national and global problems in energy, the environment, and national security.
For pioneering studies of the functionality of mesoporous oxides and carbons for real-world applications, ionic liquids for chemical separation and materials synthesis, and catalysis by nanomaterials.
2006
For contributions to high-performance networking and multiple-sensor fusion and for developing a unifying theory of information fusion.
2005
For research in the fields of astrophysics and supernova science.
1996
For pioneering research in ecosystem theory, ecological modeling, error analysis, hierarchy theory, and landscape ecology and for the development of basic applications in risk assessment and regional environmental analysis.
1991
For significant advancement of welding science and technology through original and definitive research, particularly for contributions to understanding the solidification behavior of the weld pool, phase stability microstructure-property correlations in welds, and continued leadership and outstanding service to the national and international welding research community.
1979
For contributions to nuclear data measurement, analysis, and applications, through determination and development of neutron-induced reaction cross sections, high-resolution neutron scattering, the nonlocal nuclear optical model, and uncertainty and covariance information